基于网络的预测方法用于癌症特定的驱动器误解突变,使用图形神经网络
Narumi Hatano1, Mayumi Kamada2, Ryosuke Kojima1
1Graduate School of Medicine, Kyoto University, Kyoto, Japan.
BMC bioinformatics
|October 10, 2023
概括
我们开发了Net-DMPred,这是一种基于网络的机器学习方法,用于识别癌症驱动器误解突变. 这种方法通过分析分子网络来改进传统方法,增强癌症基因组医学.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 机器学习 机器学习
背景情况:
- 在癌症基因组医学中,识别驱动突变对于理解癌症的发展和生长至关重要.
- 现有的机器学习方法往往专注于单个变体,忽视了分子网络在癌症中的作用.
研究的目的:
- 提出Net-DMPred,一种新的基于网络的机器学习方法,用于预测癌症驱动器误解突变.
- 将分子网络信息集成到驱动器突变预测中.
主要方法:
- Net-DMPred使用图形神经网络 (GNN) 来学习分子网络结构.
- 它将单个变体特征与学习图形特征相结合,用于驱动器变体预测.
主要成果:
- 与传统方法相比,Net-DMPred在预测司机误解突变方面表现优越.
- 分子网络结构的选择显著影响了预测性能,突出了本地和大规模网络的重要性.
结论:
- 通过利用GNN来分析分子网络架构,Net-DMPred有效地预测癌症驱动误解突变.
- 这种方法有望在众多误解变异中识别新的驱动器突变.
相关概念视频
Protein Networks
4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Cancer Survival Analysis
359
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
359
Cancers Originate from Somatic Mutations in a Single Cell
12.0K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
12.0K
Cancer-Critical Genes II: Tumor Suppressor Genes
7.5K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.5K
Cancer-Critical Genes I: Proto-oncogenes
8.9K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
8.9K


